Research Article
An Energy-Balancing and Spectrum-Aware Clustering Algorithm for Cognitive Radio Sensor Networks
@INPROCEEDINGS{10.4108/eai.13-7-2017.2270539, author={Xuehan Chen and Feng Zeng and Wenjia Li}, title={An Energy-Balancing and Spectrum-Aware Clustering Algorithm for Cognitive Radio Sensor Networks}, proceedings={10th EAI International Conference on Mobile Multimedia Communications}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2017}, month={12}, keywords={crsn energy balance spectrum aware global common control channel unevenly clustering}, doi={10.4108/eai.13-7-2017.2270539} }- Xuehan Chen
Feng Zeng
Wenjia Li
Year: 2017
An Energy-Balancing and Spectrum-Aware Clustering Algorithm for Cognitive Radio Sensor Networks
MOBIMEDIA
EAI
DOI: 10.4108/eai.13-7-2017.2270539
Abstract
In this paper, we propose an Energy-Balancing and Spectrum-Aware Clustering (EBSAC) algorithm for Cognitive Radio Sensor Network (CRSN). EBSAC does not require global Common Control Channel (CCC), and uses uneven cluster to achieve the energy balance of the network. Cluster radiuses are decided by the energy consumption of nodes. Cluster Heads (CHs) are selected according to the residual energy, channel condition including available channels and common channel with their upstream CHs, and the distance to sink and their upstream CHs. When choosing cluster channels, we consider both the number of cluster members and the number of Relay Nodes (RNs) to increase connectivity between clusters. In addition, a routing algorithm without global CCC is designed for the CRSN. Performance evaluation reveals that the proposed algorithms are effective in term of balancing energy.